Triple

T11734188
Position Surface form Disambiguated ID Type / Status
Subject Battle of Kokenhausen E278983 entity
Predicate location P40 FINISHED
Object Kokenhausen
Kokenhausen is a historic town in present-day Latvia, known primarily as the site of a major battle during the Polish–Swedish War.
E942329 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kokenhausen | Statement: [Battle of Kokenhausen, location, Kokenhausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kokenhausen
Context triple: [Battle of Kokenhausen, location, Kokenhausen]
  • A. Kühnhausen
    Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
  • B. Heckinghausen
    Heckinghausen is a district of the German city of Wuppertal, located in the Bergisches Land region of North Rhine-Westphalia.
  • C. Ochsenhausen
    Ochsenhausen is a small historic town in the German state of Baden-Württemberg, best known for its former Benedictine monastery, Ochsenhausen Abbey.
  • D. Nennhausen
    Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
  • E. Hettenshausen
    Hettenshausen is a municipality in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kokenhausen
Triple: [Battle of Kokenhausen, location, Kokenhausen]
Generated description
Kokenhausen is a historic town in present-day Latvia, known primarily as the site of a major battle during the Polish–Swedish War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kokenhausen
Target entity description: Kokenhausen is a historic town in present-day Latvia, known primarily as the site of a major battle during the Polish–Swedish War.
  • A. Kühnhausen
    Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
  • B. Heckinghausen
    Heckinghausen is a district of the German city of Wuppertal, located in the Bergisches Land region of North Rhine-Westphalia.
  • C. Ochsenhausen
    Ochsenhausen is a small historic town in the German state of Baden-Württemberg, best known for its former Benedictine monastery, Ochsenhausen Abbey.
  • D. Nennhausen
    Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
  • E. Hettenshausen
    Hettenshausen is a municipality in the district of Pfaffenhofen an der Ilm in Bavaria, Germany.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4daa7f48190896fc7653e9dd70b completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8406fe8881909722ecb040087e68 completed April 27, 2026, 3:43 p.m.
NEDg Description generation batch_69ef9b68309081909f3f614efeeb2ab1 completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd6aba82c81909ff22e6b26db3cfe completed April 27, 2026, 9:35 p.m.
Created at: April 8, 2026, 9:41 p.m.